{"id":"W6905803772","doi":"10.15468/dl.bev8vk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009663113,0.002314061,0.001663803,0.004426974,0.001013535,0.00258705,0.003144007,0.001982229,0.1400811],"category_scores_gemma":[0.005983588,0.0009472142,0.001242481,0.008847756,0.0004613436,0.002362693,0.002602511,0.002031611,0.198044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719901,"about_ca_system_score_gemma":0.002552436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02340057,"about_ca_topic_score_gemma":0.03960556,"domain_scores_codex":[0.9989805,0.0001387595,0.000137115,0.0003620994,0.0002259776,0.0001555542],"domain_scores_gemma":[0.9978815,0.0005880236,0.0001966338,0.0005427035,0.0005337834,0.0002573549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003912251,0.0000136894,0.0003945339,0.0005817852,0.00001660521,0.00001781977,0.00002532739,0.0001546282,0.0001309944,0.0004697912,0.9965459,0.001609915],"study_design_scores_gemma":[0.00008618107,0.000009104961,0.001480549,0.0001732771,0.00001478771,0.00004250856,0.00006588917,0.0002160659,0.0002205179,0.0009433441,0.9967289,0.00001869475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005198065,0.00003299399,0.00006309539,0.00003752029,0.00001139849,0.000006200783,0.9984156,0.0006564159,0.0007247169],"genre_scores_gemma":[0.0001613319,0.00003690977,0.0002575593,0.00004531544,0.000002700194,0.00003565415,0.9988226,0.0002051641,0.0004326947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8599189,"threshold_uncertainty_score":0.468618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}